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Hatchet vs LangGraph

A side-by-side comparison of Hatchet and LangGraph across 26 workflow orchestration capabilities. Hatchet fully supports 18 of them and LangGraph fully supports 21; of the 12 mandatory features, Hatchet covers 10 and LangGraph covers 10.

Hatchet

Hatchet is an open-source, Postgres-based platform for running background tasks, durable workflows and AI agents at scale, with SDKs for Python, TypeScript and Go.

Features fully supported18 / 26
Mandatory features: 10 / 12View profile

LangGraph

LangGraph is a stateful, graph-based orchestration framework for building, managing, and deploying long-running agentic LLM applications and workflows.

Features fully supported21 / 26
Mandatory features: 10 / 12View profile

Feature comparison

7 of 26 capabilities differ between Hatchet and LangGraph.

Change tools
CapabilityHatchetLangGraph
DAG-based workflow definition
Define dependencies and execution order
Mandatory		YesYes
Code-first workflows
Versionable, testable workflows
Mandatory		YesYes
Declarative workflow model
Predictability, reproducibility
Mandatory		PartialPartial
Task dependency resolution
Correct execution order
Mandatory		YesYes
Persistent workflow state
Crash recovery, observability
Mandatory		YesYes
Task retries
Handle transient failures
Mandatory		YesYes
Retry policies (backoff, limits)
Avoid cascading failures
Recommended		YesYes
Scheduling (cron / time-based)
Automated recurring workflows
Depends		YesNo
Event-driven execution
React to external systems
Depends		YesYes
Backfills / replays
Reprocess historical data
Depends		PartialYes
Idempotency support
Safe retries & replays
Mandatory		PartialPartial
Exactly-once semantics
Correctness for business workflows
Optional		NoNo
Long-running workflows (days/months)
Business processes, approvals
Depends		YesYes
Human-in-the-loop steps
Approvals, manual actions
Optional		YesYes
Dynamic workflows at runtime
Conditional execution
Depends		YesYes
Workflow versioning
Safe evolution over time
Recommended		PartialYes
Distributed execution
Scalability
Mandatory		YesYes
High availability scheduler
Production reliability
Recommended		PartialYes
Fault-tolerant execution
Crash safety
Mandatory		YesYes
Observability (logs, states, UI)
Debugging & ops
Mandatory		YesYes
Workflow-level visibility
Understand end-to-end runs
Mandatory		YesYes
Task isolation
Failure containment
Mandatory		YesYes
Native Kubernetes support
Modern infra compatibility
Depends		YesYes
Multi-language SDKs
Polyglot systems
Optional		YesNo
Deterministic replay
Safe recovery & correctness
Optional		PartialYes
Pluggable execution backends
Flexibility
Recommended		NoYes

* To be considered a complete workflow orchestration tool, a tool must implement the features marked as mandatory according to our assessment.

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Learn more

Read the full profiles, including pros and cons, installation and alternatives.

HatchetLangGraph

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